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AI/ML Specialist / Architect

5.00 to 8.00 Years   Bangalore   12 Jun, 2022
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryManufacturing
Functional AreaGeneral / Other SoftwareSales / BD
EmploymentTypeFull-time

Job Description

    Job DescriptionOur team is actively involved in developing a AI based platform as SaaS/Paas offering and also implementing this for our customers. We are looking for a dynamic and self driven resource to lead our AI based platform development while bringing in new technologies and tools to elevate the solutions to address our customer needs within Bosch and externally as well. The expectation is for the identified candidate to lead a group of AI/ML resources to bring the right fit methodologies and enhancements to the machine learning approach as well as bring in new ideas and concepts. The candidate will also have to mentor and manage the team to design the end to end solution and architecture. Also he/she will help identify the necessary trainings to groom the next set of promising team members. Staying abreast of the latest technologies and industry trends to serve the interests and needs of the Bosch systems/software.
    • Proven experience as an NLP Expert or Researcher with atleast 5+ years of exposure in this field
    • Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling
    • Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc), statistics and classification algorithms
    • Solid software engineering skills, with proficiency in Python and experience in providing them as services
    • Python web framework Web2Py/Django/ Flask
    • Knowledge of API services and setup like RESTful
    • Selecting features, building and optimizing classifiers using machine learning techniques
    • Ability to effectively design software architecture
    • Experience with Python data analysis libraries (pandas, sklearn, numpy, scipy, and matplotlib), and Spark MLlib
    • Ability to write robust and testable code
    • Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
    • Perform statistical analysis of results and refine models
    • Extend ML libraries and frameworks to apply in NLP tasks using BERT, ELMO etc
    • A/B testing approaches for evaluation of features or right models
    • Candidate should have good knowledge on MLOps.
    • Good to have a knowledge on developing scalable Data pipeline/processing large data.
    • Candidate should know how to develop a measurable AI/ML ecosystem.
    • Enhancing data collection procedures to include information that is relevant for building analytic systems
    • Processing, cleansing, and verifying the integrity of data used for analysis
    • Doing ad-hoc analysis and presenting results in a clear manner
    • Model Deployments in Container Platform like Docker
    Additional information
    • Good ability to anticipate issues and formulate remedial actions.
    • Sound Knowledge of unit testing methodologies and frameworks
    • Understanding of Agile execution framework
    ,

Keyskills :
unit testingdata analysisweb frameworkdata structuresdata collectionmachine learningsentiment analysisposition managementstatistical analysis

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